iPad Air 11-inch (M2)
Geekbench AI Score
5928
Single Precision Score
6506
Half Precision Score
5936
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | WrigleyBeard |
| Upload Date | December 12 2024 10:56 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad Air 11-inch (M2) |
| Model ID | iPad14,8 |
| Motherboard | J507AP |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2966
551.6 IPS |
|
|
Image Classification (HP)
|
100% |
2985
555.0 IPS |
|
|
Image Classification (Q)
|
97% |
2488
464.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3837
62.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4563
74.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4612
74.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
22376
26.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
23691
27.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
22123
25.9 IPS |
|
|
Object Detection (SP)
|
100% |
2906
230.5 IPS |
|
|
Object Detection (HP)
|
100% |
3162
250.8 IPS |
|
|
Object Detection (Q)
|
91% |
2586
206.6 IPS |
|
|
Face Detection (SP)
|
100% |
9548
113.5 IPS |
|
|
Face Detection (HP)
|
100% |
10629
126.3 IPS |
|
|
Face Detection (Q)
|
100% |
7494
89.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
15394
118.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
16362
126.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
13704
107.1 IPS |
|
|
Style Transfer (SP)
|
100% |
38584
49.6 IPS |
|
|
Style Transfer (HP)
|
100% |
43652
56.1 IPS |
|
|
Style Transfer (Q)
|
96% |
40836
52.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8017
296.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8470
312.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7036
259.8 IPS |
|
|
Text Classification (SP)
|
100% |
2179
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
3696
4.93 KIPS |
|
|
Text Classification (Q)
|
93% |
3702
4.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
731
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
561
9.67 IPS |
|
|
Machine Translation (Q)
|
98% |
758
13.1 IPS |
